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Caiyun Weather / 彩云天气 MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Caiyun Weather / 彩云天气 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Caiyun Weather / 彩云天气 Assistant",
            instructions=(
                "You help users interact with Caiyun Weather / 彩云天气. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Caiyun Weather / 彩云天气"
        )
        print(result.final_output)

asyncio.run(main())
Caiyun Weather / 彩云天气
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About Caiyun Weather / 彩云天气 MCP Server

Empower your AI agent to orchestrate your environmental monitoring and high-precision weather forecasting with Caiyun Weather (彩云天气), the pioneer of minute-level precipitation forecasting in China. By connecting Caiyun to your agent, you transform complex meteorological data, air quality auditing, and long-term forecasts into a natural conversation. Your agent can instantly retrieve real-time conditions for any coordinate, provide hyper-local rain alerts for the next two hours, and audit historical or forecast trends without you ever needing to navigate a weather map. Whether you are planning outdoor logistics or monitoring air quality for retail branches, your agent acts as a real-time environmental coordinator, providing accurate and fast results from a single, authorized source.

The OpenAI Agents SDK auto-discovers all 8 tools from Caiyun Weather / 彩云天气 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Caiyun Weather / 彩云天气, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

  • Minute-Precision Rain — Access hyper-local precipitation forecasts for the next 120 minutes with high resolution.
  • Real-time Auditing — Retrieve current temperature, humidity, visibility, and wind conditions for specific coordinates.
  • Air Quality Monitoring — Access real-time AQI and pollutant data (PM2.5, PM10) across mainland China.
  • Long-term Forecasting — Retrieve detailed hourly and daily weather trends for up to 15 days.
  • Geographic Flexibility — Query any location using Longitude,Latitude (GCJ-02) or administrative codes.

The Caiyun Weather / 彩云天气 MCP Server exposes 8 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Caiyun Weather / 彩云天气 to OpenAI Agents SDK via MCP

Follow these steps to integrate the Caiyun Weather / 彩云天气 MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 8 tools from Caiyun Weather / 彩云天气

Why Use OpenAI Agents SDK with the Caiyun Weather / 彩云天气 MCP Server

OpenAI Agents SDK provides unique advantages when paired with Caiyun Weather / 彩云天气 through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Caiyun Weather / 彩云天气 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Caiyun Weather / 彩云天气 MCP Server delivers measurable value.

01

Automated workflows: build agents that query Caiyun Weather / 彩云天气, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Caiyun Weather / 彩云天气, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Caiyun Weather / 彩云天气 tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Caiyun Weather / 彩云天气 to resolve tickets, look up records, and update statuses without human intervention

Caiyun Weather / 彩云天气 MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Caiyun Weather / 彩云天气 to OpenAI Agents SDK via MCP:

01

get_aqi_info

Get air quality index

02

get_daily_forecast

Get daily weather forecast

03

get_hourly_forecast

Get hourly weather forecast

04

get_minutely_rain

Get minute-precision rain

05

get_precipitation_probability

Check rain probability

06

get_realtime_weather

Get real-time weather

07

get_visibility_data

Get visibility distance

08

get_wind_conditions

Get wind speed and direction

Example Prompts for Caiyun Weather / 彩云天气 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Caiyun Weather / 彩云天气 immediately.

01

"What is the real-time weather at coordinates 121.47,31.23 (Shanghai)?"

02

"Will it rain in the next 2 hours at 116.40,39.90 (Beijing)?"

03

"Check the air quality index for coordinates 113.26,23.12 (Guangzhou)."

Troubleshooting Caiyun Weather / 彩云天气 MCP Server with OpenAI Agents SDK

Common issues when connecting Caiyun Weather / 彩云天气 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Caiyun Weather / 彩云天气 + OpenAI Agents SDK FAQ

Common questions about integrating Caiyun Weather / 彩云天气 MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Caiyun Weather / 彩云天气 to OpenAI Agents SDK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.